Lead front-end technical direction and deliver high-performance, real-time trading UIs using React and TypeScript. Manage a small team, collaborate with product/design/backend/SRE, drive testing, CI/CD, observability, secure compliant practices, and adopt enterprise AI-assisted development to improve code quality and delivery.
Join Digital Markets Execution Technology (DMET) to shape the future of Execute, our front-office trading platform powering Markets businesses. As a Lead Software Engineer (UI), you will set front-end technical direction and lead hands-on delivery of a latency-sensitive, real-time user experience used directly by traders and sales. You will partner closely with business stakeholders, product specialists, designers, and control partners to build intuitive, high-signal workflows at scale. You will also directly lead a small team of mid-level engineers, fostering their growth and maintaining a high-performing, inclusive team culture. This role emphasizes engineering excellence, operational readiness, and secure, compliant delivery in a fast-paced global environment.
Job Responsibilities
- Lead the design and delivery of user interface capabilities across Execute, from discovery to production support
- Set front-end technical direction, including architecture, standards, performance, and testing strategy
- Partner with product, business stakeholders, and designers to translate trading workflows into intuitive UX
- Drive quality through thorough testing, troubleshooting, and performance optimization
- Build high-performance, real-time UIs with strong responsiveness and stability
- Establish and evolve scalable UI architecture, including component libraries and shared platform services
- Drive engineering excellence through code reviews, quality gates, CI/CD, observability, and operational readiness
- Ensure secure, compliant development practices aligned to firm standards
- Directly manage and mentor a small team of mid-level engineers, providing technical guidance, career development support, and day-to-day coaching to cultivate an inclusive, high-performing team culture
- Collaborate with backend, platform, and SRE partners to deliver end-to-end solutions
- Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
- Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Required Qualifications / Skills
- Hands-on experience building production UIs with React and TypeScript in large-scale applications
- Strong knowledge of modern front-end engineering, including state management, asynchronous data flows, and UI architecture
- Expertise in performance optimization, testing strategies, and automation in CI/CD pipelines
- Experience delivering real-time or data-intensive user experiences
- Demonstrated technical leadership in setting standards, leading designs, and directly managing or mentoring small teams of mid-level engineers
- Solid software engineering fundamentals, including OO/design patterns, debugging, and documentation
- Familiarity with agentic development approaches across the software development lifecycle
- Strong communication and people skills, with the ability to work effectively in global, cross-functional environments while supporting the day-to-day development and growth of direct reports
- Ability to tackle design and functionality problems independently
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred Qualifications / Skills
- Experience in front-office trading or electronic execution domains
- Familiarity with financial market concepts and protocols
- Experience with UI component libraries, advanced data grid patterns, and visualization
- Exposure to backend-for-frontend patterns, event-driven architectures, and API design collaboration
- Experience operating UIs in regulated environments with strong auditability and controls
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorganChase London, England Office
25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP
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